Databricks Azure Cloud ML Engineering Manager
4 hours ago
About the Role
We are looking for a highly skilled Machine Learning Engineer to lead our team in training and retraining existing ML models using Databricks on the Azure cloud platform.
The ideal candidate will have experience working with Databricks, automating training workflows, and handling data from Google BigQuery. In this role, you will be responsible for creating and managing automated workflows for model retraining and integrating with BigQuery for data extraction and preprocessing.
Key Responsibilities
- Train and retrain existing ML models using Databricks on Azure.
- Develop and maintain automated workflows for model retraining.
- Extract and preprocess data from Google BigQuery for training cycles.
- Optimize training processes for efficiency and scalability within the Azure environment.
- Collaborate with data engineers and data scientists to ensure data quality and model performance.
Requirements
We are seeking a highly experienced professional with:
- 5+ years of relevant experience in Databricks / ML Ops.
- Strong experience with Databricks on Azure and training ML models.
- Proficiency in automating workflows using Databricks notebooks and pipelines.
- Experience with data extraction and processing using Google BigQuery.
- Knowledge of Python, PySpark, and ML libraries (e.g., TensorFlow, scikit-learn).
- Familiarity with cloud-based data solutions, especially within the Azure ecosystem.
What We Offer
A competitive salary of $140,000 - $170,000 per annum, depending on experience, plus benefits and opportunities for growth and development.
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